alicadaly / patents Goto Github PK

Parse patent grant and assignment info from USPTO and match with compustat data.

• Analysis

  • analyze_patent.py: analyze just patent data
  • analyze_transfer.py: analyze transfer data with firm match
  • analyze_within.py: analyze firm data

• Name standardization

  • standardize.py: name standardization routines

• Parsing raw data files

  • parse_grants_all.py: parse all patent grant data (gen1,gen2,gen3) into patents.db
  • parse_grants_gen1.py: parse gen1 patent grant data into patents.db
  • parse_grants_gen2.py: parse gen2 patent grant data into patents.db
  • parse_grants_gen3.py: parse gen3 patent grant data into patents.db
  • parse_assign_all.py: parse all patent assignment data into patents.db
  • parse_assign_sax.py: parse sax patent assignment data into patents.db
  • parse_compustat.py: parse compustat data
  • parse_nber_grants.py: parse nber grant info
  • parse_nber_info.py: parse ownership info from nber
  • fix_patent_tables.py: fix various issues with patent data
  • find_assign_dups.py: flag assignments between the same entity

• Name matching and firm aggregation

  • patents_match_grants.py: match firms by name from patent grant data
  • patents_match_assign.py: same for assignment names
  • patents_match_compustat.py: same for compustat names
  • patents_match_merge.py: merge all of above into firmyear tables
  • patents_match_tokens.py: generate token frequency from grant names

• Pure compustat match

  • compustat_assign_match.py: match names from patent assignments to compustat names into transfers.db
  • compustat_grant_match.py: match names from patent grants to compustat names into transfers.db
  • compustat_merge.py: merge matched assignment data into compustat.db

• fetch patent grant files: grant_files/fetch_grants.py
• fix malformed XML in grant files: grant_files/fix_grants_gen2.py and grant_files/fix_grants_gen3.py
• fetch patent assignment files: assign_files/fetch_assignments.py
• patent grants parse: parse_grants_all.py
• patent assignments parse: parse_assign_all.py
• merge grants/assignments: fix_patent_tables.py
• flag redundant assignments: flag_assign_dups.py
• parse compustat: parse_compustat.py
• parse citation data: parse_cites_all.py
• parse maintenance data: parse_maint.py
• match grant data: patents_match_grants.py
• match assign data on top: patents_match_assign.py
• match compustat data on top: patents_match_compustat.py
• match citation data: patents_match_cites.py
• merge it all together: patents_match_merge.py

• patents.db:

  • patent: (patnum int, filedate text, grantdate text, classone int, classtwo int, owner text)
  • assignment: (patnum int, execdate text, recdate text, conveyance text, assignor text, assignee text)

• compustat.db:

  • firmyear: (gvkey int, year int, income real, revenue real, rnd real) + (source_pnum int, dest_pnum int)
  • firmname: (gvkey int, name text)
  • firmkey: (gvkey int, idx int, keyword text, ntoks int)

• within.db:

  • grant_info
  • assignment_info
  • firmyear_info
  • firm

• assignment_files: patent reassignment data from Google/USPTO
• grant_files: patent grant data from Google/USPTO
• compustat_files: Compustat data since 1950 from WRDS
• other_files:
  • naics_co09.csv: concordance between US Patent Classes (USPC) and NAICS codes
  • sic_co08.csv: concordance between USPC and SIC codes

• cut off names above a certain length, say longest 2%
• Assignee country:
  • gen1: CNT[:2]
  • gen2: B731 -> CTRY
  • gen3: assignee -> country